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Zoom General

OpenAIOfficialCreated by ZoomDistributed by OpenAI

  • Skill
  • Tool integration
  • Automation and integrations
  • MIT
  • Medium risk

From the author

Use when comparing products.
— the description by Zoom

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Zoom General serves as a strategic starting point for developers and architects to navigate the Zoom ecosystem. It provides a structured workflow to classify integration requirements, identify the correct Zoom product surface (such as APIs, SDKs, or webhooks), and determine the necessary authentication model. By guiding users through a decision-making process, it ensures that developers select the right tool for their specific use case before routing to more specialized skills.

What it does

  • Classifies integration jobs based on desired outcomes like embedding meetings or automating resources.
  • Maps requirements to specific Zoom surfaces including REST APIs, WebSockets, and various SDKs.
  • Provides guidance on selecting the correct authentication and scope model for an integration.
  • Facilitates routing to specialized skills once the product context is established.
  • Offers comparative context for tasks that span multiple Zoom product boundaries.

When to use it

  • When you are in the early stages of planning a Zoom integration and need to choose the right app type.
  • When you need to compare different Zoom surfaces to determine which fits your technical requirements.
  • When a task involves multiple Zoom products and requires a high-level architectural approach.
  • When you need to confirm the correct authentication flow for a specific integration scenario.

Advantages

  • Prevents premature selection of tools by enforcing a structured classification process.
  • Clarifies the distinction between user-level OAuth, account-level OAuth, and SDK signatures.
  • Reduces complexity by routing users to narrow, specialized skills after initial planning.
  • Provides a clear decision matrix for choosing between General Apps, Server-to-Server OAuth, and Webhook Only apps.

Usage examples

“I want to build an app that automates meeting reports. Which Zoom app type should I use?”
The agent will guide you to classify the job as backend automation, leading to the recommendation of Server-to-Server OAuth for its lack of user interaction requirements.
“Should I use the Meeting SDK or the Video SDK for my project?”
The agent will help you compare the two based on your specific embedding needs and surface requirements, ensuring you choose the correct SDK for your use case.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/zoom-general/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip zoom-general.zip -d .agents/skills

Documentation by Zoom

Zoom General

Use this skill for cross-product platform context after the user’s goal is understood. For first-step routing, prefer start, plan-zoom-product, or plan-zoom-integration.

Workflow

  1. Classify the job by outcome: embed meetings, custom video, automate resources, consume events, process media, use meeting intelligence, or publish a Marketplace app.

  2. Choose the Zoom surface that owns the behavior: REST API, webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Phone, Contact Center, Virtual Agent, Scribe, Rivet, or Cobrowse.

  3. Confirm auth and scope model before implementation; Zoom surfaces differ on user-level OAuth, account-level OAuth, and SDK signatures.

  4. Route to the narrow skill once the surface is chosen rather than keeping broad guidance in context.

  5. Use the preserved guide only when a task crosses product boundaries or needs detailed comparison tables.

References

Files

use-cases/recording-download-pipeline.md

Recording Download Pipeline

Automatically download Zoom Meeting cloud recordings to your own storage (S3, GCS, Azure Blob, etc.) using webhooks and REST API.

Note: This is NOT Video SDK BYOS (Bring Your Own Storage). Video SDK BYOS saves recordings directly to S3 without downloading through Zoom servers. See zoom-video-sdk for true BYOS.

Overview

Set up automated pipelines to download Zoom Meeting cloud recordings to your own storage infrastructure for compliance, cost management, or integration with existing media workflows.

Skills Needed

  • webhooks - Receive recording events

  • zoom-rest-api - Download recordings

Architecture

Recording Download Pipeline:
┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│    Zoom     │────▶│  Webhook    │────▶│   Your      │
│   Cloud     │     │  Handler    │     │   Storage   │
│  Recording  │     │             │     │  (S3, GCS)  │
└─────────────┘     └─────────────┘     └─────────────┘

Prerequisites

  • Cloud recording enabled

  • Webhook endpoint

  • Storage bucket (S3, GCS, Azure, etc.)

  • recording:read scope

Workflow

  1. Meeting ends, cloud recording completes

  2. Receive recording.completed webhook

  3. Download recording via API

  4. Upload to your storage

  5. (Optional) Delete from Zoom cloud

Common Tasks

S3 Upload Integration
const axios = require('axios');
const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3');
const { Upload } = require('@aws-sdk/lib-storage');

const s3 = new S3Client({ region: 'us-east-1' });

// Handle recording.completed webhook
app.post('/webhook', async (req, res) => {
  const { event, payload } = req.body;

  if (event === 'recording.completed') {
    const { uuid, recording_files, host_email, topic } = payload.object;

    // Process each recording file
    for (const file of recording_files) {
      await uploadToS3(file, uuid, topic);
    }

    // Optionally delete from Zoom after successful upload
    // await deleteZoomRecording(uuid);
  }

  res.status(200).send();
});

async function uploadToS3(file, meetingUuid, topic) {
  // Download from Zoom
  const response = await axios({
    method: 'GET',
    url: file.download_url,
    headers: { 'Authorization': `Bearer ${accessToken}` },
    responseType: 'stream'
  });

  // Sanitize topic for filename
  const safeTopic = topic.replace(/[^a-zA-Z0-9]/g, '_').substring(0, 50);
  const key = `recordings/${meetingUuid}/${safeTopic}_${file.file_type}.${file.file_extension}`;

  // Upload to S3 using multipart upload for large files
  const upload = new Upload({
    client: s3,
    params: {
      Bucket: 'your-recordings-bucket',
      Key: key,
      Body: response.data,
      ContentType: getContentType(file.file_extension),
      Metadata: {
        'meeting-uuid': meetingUuid,
        'file-type': file.file_type,
        'recording-start': file.recording_start
      }
    }
  });

  await upload.done();
  return `s3://your-recordings-bucket/${key}`;
}
GCS Upload Integration
const { Storage } = require('@google-cloud/storage');
const storage = new Storage();
const bucket = storage.bucket('your-recordings-bucket');

async function uploadToGCS(file, meetingUuid, topic) {
  const response = await axios({
    method: 'GET',
    url: file.download_url,
    headers: { 'Authorization': `Bearer ${accessToken}` },
    responseType: 'stream'
  });

  const safeTopic = topic.replace(/[^a-zA-Z0-9]/g, '_').substring(0, 50);
  const filePath = `recordings/${meetingUuid}/${safeTopic}_${file.file_type}.${file.file_extension}`;

  const gcsFile = bucket.file(filePath);

  return new Promise((resolve, reject) => {
    const writeStream = gcsFile.createWriteStream({
      metadata: {
        contentType: getContentType(file.file_extension),
        metadata: {
          meetingUuid: meetingUuid,
          fileType: file.file_type
        }
      },
      resumable: true  // Important for large files
    });

    response.data.pipe(writeStream)
      .on('finish', () => resolve(`gs://your-recordings-bucket/${filePath}`))
      .on('error', reject);
  });
}
Handling Large Files
// Use streaming to avoid memory issues
async function streamDownload(downloadUrl, destination) {
  const response = await axios({
    method: 'GET',
    url: downloadUrl,
    headers: { 'Authorization': `Bearer ${accessToken}` },
    responseType: 'stream',
    maxContentLength: Infinity,  // Allow large files
    maxBodyLength: Infinity
  });

  // Track progress
  const totalSize = parseInt(response.headers['content-length'], 10);
  let downloadedSize = 0;

  response.data.on('data', (chunk) => {
    downloadedSize += chunk.length;
    const progress = ((downloadedSize / totalSize) * 100).toFixed(2);
    console.log(`Download progress: ${progress}%`);
  });

  return response.data;
}

// For very large files, use chunked upload
async function chunkedUploadToS3(stream, key) {
  const upload = new Upload({
    client: s3,
    params: {
      Bucket: 'your-bucket',
      Key: key,
      Body: stream
    },
    queueSize: 4,              // Concurrent part uploads
    partSize: 10 * 1024 * 1024 // 10MB parts
  });

  upload.on('httpUploadProgress', (progress) => {
    console.log(`Upload progress: ${progress.loaded}/${progress.total}`);
  });

  await upload.done();
}
Retry Logic for Failed Downloads
const retry = require('async-retry');

async function downloadWithRetry(file, meetingUuid) {
  return await retry(
    async (bail, attemptNumber) => {
      console.log(`Attempt ${attemptNumber} for ${file.file_type}`);

      try {
        return await uploadToS3(file, meetingUuid);
      } catch (error) {
        // Don't retry on permanent errors
        if (error.response?.status === 404) {
          bail(new Error('Recording not found'));
          return;
        }
        if (error.response?.status === 401) {
          // Refresh token and retry
          await refreshAccessToken();
        }
        throw error;  // Retry
      }
    },
    {
      retries: 3,
      factor: 2,
      minTimeout: 1000,
      maxTimeout: 10000,
      onRetry: (error, attempt) => {
        console.log(`Retry attempt ${attempt}: ${error.message}`);
      }
    }
  );
}

// Queue system for processing
const Queue = require('bull');
const recordingQueue = new Queue('recording-uploads', process.env.REDIS_URL || 'redis://YOUR_REDIS_HOST:6379');

recordingQueue.process(async (job) => {
  const { file, meetingUuid, topic } = job.data;
  return await downloadWithRetry(file, meetingUuid, topic);
});

// Add job with retry
app.post('/webhook', async (req, res) => {
  if (req.body.event === 'recording.completed') {
    const { uuid, recording_files, topic } = req.body.payload.object;

    for (const file of recording_files) {
      await recordingQueue.add(
        { file, meetingUuid: uuid, topic },
        { attempts: 3, backoff: { type: 'exponential', delay: 5000 }}
      );
    }
  }
  res.status(200).send();
});
Recording Lifecycle Management
// Delete from Zoom after successful upload
async function deleteZoomRecording(meetingUuid) {
  // Double-encode UUID if it contains / or //
  const encodedUuid = encodeURIComponent(encodeURIComponent(meetingUuid));

  await axios.delete(
    `https://api.zoom.us/v2/meetings/${encodedUuid}/recordings`,
    {
      params: { action: 'trash' },  // Move to trash (recoverable for 30 days)
      // params: { action: 'delete' }, // Permanent delete
      headers: { 'Authorization': `Bearer ${accessToken}` }
    }
  );
}

// Track what's been archived
const db = require('./db');

async function markAsArchived(meetingUuid, s3Path) {
  await db.recordings.upsert({
    meeting_uuid: meetingUuid,
    s3_path: s3Path,
    archived_at: new Date(),
    deleted_from_zoom: false
  });
}

// Clean up old recordings from Zoom
async function cleanupOldRecordings() {
  const archivedRecordings = await db.recordings.findAll({
    where: {
      archived_at: { $lt: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) },
      deleted_from_zoom: false
    }
  });

  for (const recording of archivedRecordings) {
    await deleteZoomRecording(recording.meeting_uuid);
    await db.recordings.update(
      { deleted_from_zoom: true },
      { where: { meeting_uuid: recording.meeting_uuid }}
    );
  }
}

Resources

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

What our scanner noticed· Medium risk

  • Possible data-exfiltration endpoints
  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Zoom
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/plugins · plugins/zoom/skills/general · commit d420d13
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from plugins/zoom/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download zoom-general.zip